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Fujii Y, Ishigaki H, Miyairi I, Niizeki N, Nagura O, Yamashita K, Maekawa M, Furuhashi K. Age dependent discrepancy between SARS-CoV-2 anti-nucleoprotein antibody and anti-RBD spike protein antibody in children reflects vaccine coverage. J Infect Chemother 2024; 30:646-650. [PMID: 38309499 DOI: 10.1016/j.jiac.2024.01.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Revised: 12/23/2023] [Accepted: 01/31/2024] [Indexed: 02/05/2024]
Abstract
BACKGROUND COVID-19 has become widespread in Japanese children. However, the impact of varying immunization coverage on the seroprevalence of SARS-CoV-2 in children is unknown. METHODS We examined the SARS-CoV-2 antibody in children aged 0 to 18 who were hospitalized at a university hospital from June 2020 through May 2023. The SARS-CoV-2 anti-nucleoprotein (N) antibody and anti-RBD spike (S) protein antibody was measured. RESULTS A total of 586 cases were enrolled. The median age was 4 years old (interquartile range 1-9), and 362 (61.8 %) were male. The seroprevalence of anti-S antibodies gradually increased from October 2021 and reached 60 percent by early 2023. The anti-N antibody increased starting in January 2022 and reached 50 percent in May 2023. There was a discrepancy in the seroprevalence of anti-S and N antibodies in children 0 years of age or 12 years and older until the fall of 2022. This discrepancy was minimal for children 1-4 years of age and relatively small in the 5-11-year-old group. DISCUSSION The data suggests that approximately half of the children in our cohort had been infected with SARS-CoV-2 by May 2023. The discrepancy in seropositivity between the anti-S and N antibodies corresponded to the reported vaccine uptake of each target age group, which suggested protective effects of immunization. However, this effect appeared to diminish after early 2023. CONCLUSION Age dependent discrepancy between SARS-CoV-2 anti-N and anti-S antibody in children reflected differences in vaccine coverage.
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Affiliation(s)
- Yasuhito Fujii
- Department of Pediatrics, Hamamatsu University School of Medicine, Japan
| | - Hidetoshi Ishigaki
- Department of Pediatrics, Hamamatsu University School of Medicine, Japan
| | - Isao Miyairi
- Department of Pediatrics, Hamamatsu University School of Medicine, Japan.
| | - Noriyasu Niizeki
- Department of Laboratory Medicine, Hamamatsu University School of Medicine, Japan
| | - Osanori Nagura
- Infection and Prevention Center, Hamamatsu University Hospital, Japan
| | - Keita Yamashita
- Department of Laboratory Medicine, Hamamatsu University School of Medicine, Japan
| | - Masato Maekawa
- Department of Laboratory Medicine, Hamamatsu University School of Medicine, Japan
| | - Kazuki Furuhashi
- Infection and Prevention Center, Hamamatsu University Hospital, Japan
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Guan D, Dave S, Ebrahim M, Laroche JA. Factors associated with childhood non-vaccination against COVID-19 in Canada: A national survey analysis. Vaccine X 2024; 18:100478. [PMID: 38572339 PMCID: PMC10988031 DOI: 10.1016/j.jvacx.2024.100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 02/01/2024] [Accepted: 03/18/2024] [Indexed: 04/05/2024] Open
Abstract
Background COVID-19 vaccination efforts are critical in mitigating the impact of the virus, but despite proven safety and efficacy, vaccination rates among children in Canada are lower than in adults, prompting a need to explore determinants of childhood COVID-19 non-vaccination to improve uptake. Method This study analyzed data from the Canadian COVID-19 Immunization Coverage Survey 2022. Using multivariable logistic regression, it examined the association between COVID-19 non-vaccination among children aged 5-17 and factors such as parental sociodemographic characteristics, vaccine knowledge, attitudes, and beliefs (KAB), and vaccination history. Results The analysis revealed that negative KAB towards vaccines, reflected in higher KAB composite scores, significantly increased the likelihood of non-vaccination. Additionally, factors such as lower household incomes, rural residence, employment in sectors not at risk for vaccine-preventable diseases, and younger parental age were associated with higher non-vaccination. The study also highlighted ethnic disparities in vaccination odds and found that children with incomplete routine vaccinations or inconsistent flu vaccination histories were more likely to be unvaccinated against COVID-19. Surprisingly, children of parents who consistently received flu vaccinations were more likely to be unvaccinated against COVID-19. Furthermore, parental education levels showed a complex relationship with children's COVID-19 vaccination status, indicating nuanced influences on vaccination decisions. Conclusion The findings offer vital insights into the factors influencing COVID-19 vaccination uptake among children in Canada, suggesting avenues for targeted strategies to improve vaccine coverage.
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Affiliation(s)
- David Guan
- Centre for Immunization Surveillance, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Sailly Dave
- Centre for Immunization Surveillance, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Marwa Ebrahim
- Centre for Immunization Surveillance, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Julie A. Laroche
- Centre for Immunization Surveillance, Public Health Agency of Canada, Ottawa, Ontario, Canada
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3
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Rudolph AE, Khan FL, Shah A, Singh TG, Wiemken TL, Puzniak LA, Jodar L, McLaughlin JM. Effectiveness of BNT162b2 BA.4/5 Bivalent mRNA Vaccine Against Symptomatic COVID-19 Among Immunocompetent Individuals Testing at a Large US Retail Pharmacy. J Infect Dis 2024; 229:648-659. [PMID: 37925630 PMCID: PMC10938215 DOI: 10.1093/infdis/jiad474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/05/2023] [Accepted: 10/27/2023] [Indexed: 11/05/2023] Open
Abstract
BACKGROUND Data on the effectiveness of BA.4/5 bivalent vaccine stratified by age and prior infection are lacking. METHODS This test-negative study used data from individuals ≥5 years of age testing for SARS-CoV-2 with symptoms (15 September 2022 to 31 January 2023) at a large national retail pharmacy chain. The exposure was receipt of 2-4 wild-type doses and a BNT162b2 BA.4/5 bivalent vaccine (>2 months since last wild-type dose). The outcome was a positive SARS-CoV-2 test. Absolute (vs unvaccinated) and relative (vs 2-4 wild-type doses) vaccine effectiveness (VE) were calculated as (1 - adjusted odds ratio from logistic regression) × 100. VE was stratified by age and self-reported prior infection. RESULTS Overall, 307 885 SARS-CoV-2 tests were included (7916 aged 5-11, 16 329 aged 12-17, and 283 640 aged ≥18 years). SARS-CoV-2 positivity was 39%; 21% were unvaccinated, 70% received 2-4 wild-type doses with no bivalent vaccine, and 9% received a BNT162b2 BA.4/5 bivalent dose. At a median of 1-2 months after BNT162b2 BA.4/5 bivalent vaccination, depending on age group, absolute VE was 22%-60% and was significantly higher among those reporting prior infection (range, 55%-79%) than not (range, no protection to 50%). Relative VE was 31%-64%. CONCLUSIONS BNT162b2 BA.4/5 bivalent showed early additional protection against Omicron-related symptomatic COVID-19, with hybrid immunity offering greater protection.
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Affiliation(s)
| | | | - Amy Shah
- Walgreens Center for Health and Wellbeing Research, Deerfield, Illinois, USA
| | - Tanya G Singh
- Walgreens Center for Health and Wellbeing Research, Deerfield, Illinois, USA
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Munro APS, Jones CE, Faust SN. Vaccination against COVID-19 - risks and benefits in children. Eur J Pediatr 2024; 183:1107-1112. [PMID: 38169007 PMCID: PMC10950962 DOI: 10.1007/s00431-023-05380-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 12/01/2023] [Accepted: 12/10/2023] [Indexed: 01/05/2024]
Abstract
Countries in Europe and around the world have taken varying approaches to their policies on COVID-19 vaccination for children. The low risk of severe illness from COVID-19 means that even small risks from vaccination warrant careful consideration. Vaccination appears to result in a decreased risk of severe illness including the paediatric multi-system inflammatory syndrome known to be associated with COVID-19. These risks have already decreased significantly with the emergence of the Omicron variant and its subvariants, and due to widespread population immunity through previous infection. There is a relatively high risk of myocarditis following second doses of mRNA vaccines in adolescent males, although the general course of this condition appears mild. Conclusion: COVID-19 vaccination only provides a transient reduction in transmission. Currently, insufficient evidence exists to determine the impact of vaccination on post-acute COVID syndromes in children, which are uncommon. What is Known: • Vaccines against COVID-19 have significantly reduced morbidity and mortality around the world. • Whilst countries have universally recommended vaccines for adults and continue to recommend them for vulnerable populations, there has been more variability in recommendations for children. What is New: • In the setting of near universal existing immunity from infection, the majority of the initial benefit in protecting against severe illness has been eroded. • The risks of myocarditis following mRNA vaccination for children is low, but an important consideration given the modest benefits.
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Affiliation(s)
- Alasdair P S Munro
- NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Christine E Jones
- NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, UK
| | - Saul N Faust
- NIHR Southampton Clinical Research Facility and Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK.
- Faculty of Medicine and Institute for Life Sciences, University of Southampton, Southampton, UK.
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5
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Kitano T, Salmon DA, Dudley MZ, Thompson DA, Engineer L. Benefit-Risk Assessment of mRNA COVID-19 Vaccines in Children Aged 6 Months to 4 Years in the Omicron Era. J Pediatric Infect Dis Soc 2024; 13:129-135. [PMID: 38236136 DOI: 10.1093/jpids/piae002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Accepted: 01/03/2024] [Indexed: 01/19/2024]
Abstract
BACKGROUND There is no risk and benefit assessment of COVID-19 vaccination for children younger than 5 years using a single health outcomes scale. The objective of this study is to compare the expected risk and benefits of the mRNA primary series of COVID-19 vaccines for children aged 6 months to 4 years in the United States using a single health outcome scale in the Omicron era. METHODS The expected benefits and risks of the primary two-dose series of mRNA COVID-19 vaccines for children aged 6 months to 4 years were stratified by sex, the presence of underlying medical conditions, the presence of infection-induced immunity, and the type of mRNA vaccine (BNT162b2 or mRNA-1273). A scoping literature review was conducted to identify the indicators in the decision tree model. The benefit-risk ratio was the outcome of interest. RESULTS The benefit-risk ratios ranged from 200.4 in BNT162b2 for males aged 6-11 months with underlying medical conditions and without infection-induced immunity to 3.2 in mRNA-1273 for females aged 1-4 years without underlying medical conditions and with infection-induced immunity. CONCLUSIONS The expected benefit of receiving the primary series of mRNA vaccines outweighed the risk among children ages 6 months to 4 years regardless of sex, presence of underlying medical conditions, presence of infection-induced immunity, or type of mRNA vaccines. However, the continuous monitoring of the COVID-19 epidemiology as well as vaccine effectiveness and safety is important.
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Affiliation(s)
- Taito Kitano
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Pediatrics, Nara Prefecture General Medical Center, Nara, Japan
| | - Daniel A Salmon
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Institute for Vaccine Safety, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Matthew Z Dudley
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Institute for Vaccine Safety, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - David A Thompson
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Lilly Engineer
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Anesthesiology and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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Feldstein LR, Britton A, Grant L, Wiegand R, Ruffin J, Babu TM, Briggs Hagen M, Burgess JL, Caban-Martinez AJ, Chu HY, Ellingson KD, Englund JA, Hegmann KT, Jeddy Z, Lauring AS, Lutrick K, Martin ET, Mathenge C, Meece J, Midgley CM, Monto AS, Newes-Adeyi G, Odame-Bamfo L, Olsho LEW, Phillips AL, Rai RP, Saydah S, Smith N, Steinhardt L, Tyner H, Vandermeer M, Vaughan M, Yoon SK, Gaglani M, Naleway AL. Effectiveness of Bivalent mRNA COVID-19 Vaccines in Preventing SARS-CoV-2 Infection in Children and Adolescents Aged 5 to 17 Years. JAMA 2024; 331:408-416. [PMID: 38319331 PMCID: PMC10848053 DOI: 10.1001/jama.2023.27022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 12/11/2023] [Indexed: 02/07/2024]
Abstract
Importance Bivalent mRNA COVID-19 vaccines were recommended in the US for children and adolescents aged 12 years or older on September 1, 2022, and for children aged 5 to 11 years on October 12, 2022; however, data demonstrating the effectiveness of bivalent COVID-19 vaccines are limited. Objective To assess the effectiveness of bivalent COVID-19 vaccines against SARS-CoV-2 infection and symptomatic COVID-19 among children and adolescents. Design, Setting, and Participants Data for the period September 4, 2022, to January 31, 2023, were combined from 3 prospective US cohort studies (6 sites total) and used to estimate COVID-19 vaccine effectiveness among children and adolescents aged 5 to 17 years. A total of 2959 participants completed periodic surveys (demographics, household characteristics, chronic medical conditions, and COVID-19 symptoms) and submitted weekly self-collected nasal swabs (irrespective of symptoms); participants submitted additional nasal swabs at the onset of any symptoms. Exposure Vaccination status was captured from the periodic surveys and supplemented with data from state immunization information systems and electronic medical records. Main Outcome and Measures Respiratory swabs were tested for the presence of the SARS-CoV-2 virus using reverse transcriptase-polymerase chain reaction. SARS-CoV-2 infection was defined as a positive test regardless of symptoms. Symptomatic COVID-19 was defined as a positive test and 2 or more COVID-19 symptoms within 7 days of specimen collection. Cox proportional hazards models were used to estimate hazard ratios for SARS-CoV-2 infection and symptomatic COVID-19 among participants who received a bivalent COVID-19 vaccine dose vs participants who received no vaccine or monovalent vaccine doses only. Models were adjusted for age, sex, race, ethnicity, underlying health conditions, prior SARS-CoV-2 infection status, geographic site, proportion of circulating variants by site, and local virus prevalence. Results Of the 2959 participants (47.8% were female; median age, 10.6 years [IQR, 8.0-13.2 years]; 64.6% were non-Hispanic White) included in this analysis, 25.4% received a bivalent COVID-19 vaccine dose. During the study period, 426 participants (14.4%) had laboratory-confirmed SARS-CoV-2 infection. Among these 426 participants, 184 (43.2%) had symptomatic COVID-19, 383 (89.9%) were not vaccinated or had received only monovalent COVID-19 vaccine doses (1.38 SARS-CoV-2 infections per 1000 person-days), and 43 (10.1%) had received a bivalent COVID-19 vaccine dose (0.84 SARS-CoV-2 infections per 1000 person-days). Bivalent vaccine effectiveness against SARS-CoV-2 infection was 54.0% (95% CI, 36.6%-69.1%) and vaccine effectiveness against symptomatic COVID-19 was 49.4% (95% CI, 22.2%-70.7%). The median observation time after vaccination was 276 days (IQR, 142-350 days) for participants who received only monovalent COVID-19 vaccine doses vs 50 days (IQR, 27-74 days) for those who received a bivalent COVID-19 vaccine dose. Conclusion and Relevance The bivalent COVID-19 vaccines protected children and adolescents against SARS-CoV-2 infection and symptomatic COVID-19. These data demonstrate the benefit of COVID-19 vaccine in children and adolescents. All eligible children and adolescents should remain up to date with recommended COVID-19 vaccinations.
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Affiliation(s)
- Leora R. Feldstein
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Amadea Britton
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Lauren Grant
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ryan Wiegand
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Jasmine Ruffin
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Tara M. Babu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle
| | - Melissa Briggs Hagen
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | - Helen Y. Chu
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle
| | | | | | | | | | - Adam S. Lauring
- Division of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor
| | | | - Emily T. Martin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor
| | | | - Jennifer Meece
- Marshfield Clinic Research Institute, Marshfield, Wisconsin
| | - Claire M. Midgley
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Arnold S. Monto
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor
| | | | | | | | | | | | - Sharon Saydah
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Ning Smith
- Kaiser Permanente Center for Health Research, Portland, Oregon
| | - Laura Steinhardt
- Coronavirus and Other Respiratory Viruses Division, National Center for Immunization and Respiratory Diseases, US Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Harmony Tyner
- St Luke’s Regional Health Care System, Duluth, Minnesota
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Wu Q, Tong J, Zhang B, Zhang D, Chen J, Lei Y, Lu Y, Wang Y, Li L, Shen Y, Xu J, Bailey LC, Bian J, Christakis DA, Fitzgerald ML, Hirabayashi K, Jhaveri R, Khaitan A, Lyu T, Rao S, Razzaghi H, Schwenk HT, Wang F, Gage Witvliet MI, Tchetgen Tchetgen EJ, Morris JS, Forrest CB, Chen Y. Real-World Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents. Ann Intern Med 2024; 177:165-176. [PMID: 38190711 DOI: 10.7326/m23-1754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2024] Open
Abstract
BACKGROUND The efficacy of the BNT162b2 vaccine in pediatrics was assessed by randomized trials before the Omicron variant's emergence. The long-term durability of vaccine protection in this population during the Omicron period remains limited. OBJECTIVE To assess the effectiveness of BNT162b2 in preventing infection and severe diseases with various strains of the SARS-CoV-2 virus in previously uninfected children and adolescents. DESIGN Comparative effectiveness research accounting for underreported vaccination in 3 study cohorts: adolescents (12 to 20 years) during the Delta phase and children (5 to 11 years) and adolescents (12 to 20 years) during the Omicron phase. SETTING A national collaboration of pediatric health systems (PEDSnet). PARTICIPANTS 77 392 adolescents (45 007 vaccinated) during the Delta phase and 111 539 children (50 398 vaccinated) and 56 080 adolescents (21 180 vaccinated) during the Omicron phase. INTERVENTION First dose of the BNT162b2 vaccine versus no receipt of COVID-19 vaccine. MEASUREMENTS Outcomes of interest include documented infection, COVID-19 illness severity, admission to an intensive care unit (ICU), and cardiac complications. The effectiveness was reported as (1-relative risk)*100, with confounders balanced via propensity score stratification. RESULTS During the Delta period, the estimated effectiveness of the BNT162b2 vaccine was 98.4% (95% CI, 98.1% to 98.7%) against documented infection among adolescents, with no statistically significant waning after receipt of the first dose. An analysis of cardiac complications did not suggest a statistically significant difference between vaccinated and unvaccinated groups. During the Omicron period, the effectiveness against documented infection among children was estimated to be 74.3% (CI, 72.2% to 76.2%). Higher levels of effectiveness were seen against moderate or severe COVID-19 (75.5% [CI, 69.0% to 81.0%]) and ICU admission with COVID-19 (84.9% [CI, 64.8% to 93.5%]). Among adolescents, the effectiveness against documented Omicron infection was 85.5% (CI, 83.8% to 87.1%), with 84.8% (CI, 77.3% to 89.9%) against moderate or severe COVID-19, and 91.5% (CI, 69.5% to 97.6%) against ICU admission with COVID-19. The effectiveness of the BNT162b2 vaccine against the Omicron variant declined 4 months after the first dose and then stabilized. The analysis showed a lower risk for cardiac complications in the vaccinated group during the Omicron variant period. LIMITATION Observational study design and potentially undocumented infection. CONCLUSION This study suggests that BNT162b2 was effective for various COVID-19-related outcomes in children and adolescents during the Delta and Omicron periods, and there is some evidence of waning effectiveness over time. PRIMARY FUNDING SOURCE National Institutes of Health.
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Affiliation(s)
- Qiong Wu
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Jiayi Tong
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Bingyu Zhang
- The Center for Health Analytics and Synthesis of Evidence (CHASE), The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania (B.Z., Y.Lu, L.L., Y.S.)
| | - Dazheng Zhang
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Jiajie Chen
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Yuqing Lei
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Yiwen Lu
- The Center for Health Analytics and Synthesis of Evidence (CHASE), The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania (B.Z., Y.Lu, L.L., Y.S.)
| | - Yudong Wang
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (Q.W., J.T., D.Z., J.C., Y.Lei, Y.W.)
| | - Lu Li
- The Center for Health Analytics and Synthesis of Evidence (CHASE), The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania (B.Z., Y.Lu, L.L., Y.S.)
| | - Yishan Shen
- The Center for Health Analytics and Synthesis of Evidence (CHASE), The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Philadelphia, Pennsylvania (B.Z., Y.Lu, L.L., Y.S.)
| | - Jie Xu
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, Florida (J.X., J.B., T.L.)
| | - L Charles Bailey
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (L.C.B., K.H., H.R., C.B.F.)
| | - Jiang Bian
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, Florida (J.X., J.B., T.L.)
| | - Dimitri A Christakis
- Center for Child Health, Behavior, and Development, Seattle Children's Research Institute, Seattle, Washington (D.A.C.)
| | - Megan L Fitzgerald
- Department of Medicine, Grossman School of Medicine, New York University, New York, New York (M.L.F.)
| | - Kathryn Hirabayashi
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (L.C.B., K.H., H.R., C.B.F.)
| | - Ravi Jhaveri
- Division of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois (R.J.)
| | - Alka Khaitan
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Diseases and Global Health, Indiana University School of Medicine, Indianapolis, Indiana (A.K.)
| | - Tianchen Lyu
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, Florida (J.X., J.B., T.L.)
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado School of Medicine and Children's Hospital Colorado, Aurora, Colorado (S.R.)
| | - Hanieh Razzaghi
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (L.C.B., K.H., H.R., C.B.F.)
| | - Hayden T Schwenk
- Department of Pediatrics, Stanford School of Medicine, Stanford, California (H.T.S.)
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medicine, New York, New York (F.W.)
| | - Margot I Gage Witvliet
- Department of Sociology, Social Work and Criminal Justice, Lamar University, Beaumont, Texas (M.I.G.W.)
| | - Eric J Tchetgen Tchetgen
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (E.J.T.T., J.S.M.)
| | - Jeffrey S Morris
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania (E.J.T.T., J.S.M.)
| | - Christopher B Forrest
- Applied Clinical Research Center, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania (L.C.B., K.H., H.R., C.B.F.)
| | - Yong Chen
- The Center for Health Analytics and Synthesis of Evidence (CHASE), Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, and The Graduate Group in Applied Mathematics and Computational Science, School of Arts and Sciences, University of Pennsylvania, Leonard Davis Institute of Health Economics, Penn Medicine Center for Evidence-based Practice (CEP), and Penn Institute for Biomedical Informatics (IBI), Philadelphia, Pennsylvania (Y.C.)
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Padilla-Rivas GR, Santoyo-Suarez MG, Benitez-Chao DF, Galan-Huerta K, Villareal HF, Garza-Treviño EN, Islas JF. A panoramic view of hospitalized young children in the metropolitan area of the valley of Mexico during COVID-19. IJID REGIONS 2023; 9:72-79. [PMID: 37928801 PMCID: PMC10624577 DOI: 10.1016/j.ijregi.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/08/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023]
Abstract
Objectives This work provides an overview of young children's (aged 0-9) infectious diseases epidemiology, by exploring the link between various comorbid conditions, COVID-19, and death rate. Methods Public data on hospitalized young children was obtained from national databases of the Mexican health care system from 2020-2022. Data included age, year of entry, gender, the time between admission to death (hospitalization time), date of death, comorbidities, and admissions to the intensive care unit. Children were separated into age groups and frequencies were calculated. Binary regression models were developed to determine the correlation of comorbidities and COVID-19 to death as calculated by odds ratios (OR). Results From 2020-2022, there were 11,815 hospitalizations among young children, of which 15.98% were due to COVID-19, 2.55% of hospitalizations resulted in fatalities from which 32.45% of deaths were COVID-19 related. The highest case-calculated fatality ratio of COVID-19 infected young children was estimated at 7.04% by early 2020, but dropped to 2.11% by the end of the second semester of 2022. The most frequent comorbidities associated with their hospitalization and death for the general population were intubation (OR: 17.967), pneumonia (OR: 2.263), diabetes (OR: 7.301), cardiovascular diseases (OR: 1.528) and COVID-19 (OR: 261). For the COVID-19-positive group, the most impactful comorbidities were intubation (OR: 20.232), pneumonia (OR: 3.057), and diabetes (OR: 12.824). Conclusion Children's hospitalizations and deaths were common during the pandemic; wherein major comorbidities played an important role. Therefore, effective comorbidity management and vaccination programs are essential to reduce hospitalizations and deaths among young children.
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Affiliation(s)
- Gerardo R. Padilla-Rivas
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
| | - Michelle G. Santoyo-Suarez
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
| | - Diego Francisco Benitez-Chao
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
| | - Kame Galan-Huerta
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
| | | | - Elsa N. Garza-Treviño
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
| | - Jose Francisco Islas
- Universidad Autónoma de Nuevo León, Facultad de Medicina, Departamento de Bioquímica y Medicina Molecular, Dr. Eduardo Aguirre Pequeño, Monterrey, México
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Wu Q, Tong J, Zhang B, Zhang D, Chen J, Lei Y, Lu Y, Wang Y, Li L, Shen Y, Xu J, Bailey LC, Bian J, Christakis DA, Fitzgerald ML, Hirabayashi K, Jhaveri R, Khaitan A, Lyu T, Rao S, Razzaghi H, Schwenk HT, Wang F, Witvliet MI, Tchetgen EJT, Morris JS, Forrest CB, Chen Y. Real-world Effectiveness of BNT162b2 Against Infection and Severe Diseases in Children and Adolescents. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.06.16.23291515. [PMID: 38014095 PMCID: PMC10680874 DOI: 10.1101/2023.06.16.23291515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Background The efficacy of the BNT162b2 vaccine in pediatrics was assessed by randomized trials before the Omicron variant's emergence. The long-term durability of vaccine protection in this population during the Omicron period remains limited. Objective To assess the effectiveness of BNT162b2 in preventing infection and severe diseases with various strains of the SARS-CoV-2 virus in previously uninfected children and adolescents. Design Comparative effectiveness research accounting for underreported vaccination in three study cohorts: adolescents (12 to 20 years) during the Delta phase, children (5 to 11 years) and adolescents (12 to 20 years) during the Omicron phase. Setting A national collaboration of pediatric health systems (PEDSnet). Participants 77,392 adolescents (45,007 vaccinated) in the Delta phase, 111,539 children (50,398 vaccinated) and 56,080 adolescents (21,180 vaccinated) in the Omicron period. Exposures First dose of the BNT162b2 vaccine vs. no receipt of COVID-19 vaccine. Measurements Outcomes of interest include documented infection, COVID-19 illness severity, admission to an intensive care unit (ICU), and cardiac complications. The effectiveness was reported as (1-relative risk)*100% with confounders balanced via propensity score stratification. Results During the Delta period, the estimated effectiveness of BNT162b2 vaccine was 98.4% (95% CI, 98.1 to 98.7) against documented infection among adolescents, with no significant waning after receipt of the first dose. An analysis of cardiac complications did not find an increased risk after vaccination. During the Omicron period, the effectiveness against documented infection among children was estimated to be 74.3% (95% CI, 72.2 to 76.2). Higher levels of effectiveness were observed against moderate or severe COVID-19 (75.5%, 95% CI, 69.0 to 81.0) and ICU admission with COVID-19 (84.9%, 95% CI, 64.8 to 93.5). Among adolescents, the effectiveness against documented Omicron infection was 85.5% (95% CI, 83.8 to 87.1), with 84.8% (95% CI, 77.3 to 89.9) against moderate or severe COVID-19, and 91.5% (95% CI, 69.5 to 97.6)) against ICU admission with COVID-19. The effectiveness of the BNT162b2 vaccine against the Omicron variant declined after 4 months following the first dose and then stabilized. The analysis revealed a lower risk of cardiac complications in the vaccinated group during the Omicron variant period. Limitations Observational study design and potentially undocumented infection. Conclusions Our study suggests that BNT162b2 was effective for various COVID-19-related outcomes in children and adolescents during the Delta and Omicron periods, and there is some evidence of waning effectiveness over time. Primary Funding Source National Institutes of Health.
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Affiliation(s)
- Qiong Wu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jiayi Tong
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Bingyu Zhang
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Dazheng Zhang
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jiajie Chen
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yuqing Lei
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yiwen Lu
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yudong Wang
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Lu Li
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Yishan Shen
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Jie Xu
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - L. Charles Bailey
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Jiang Bian
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Dimitri A. Christakis
- Center for Child Health, Behavior, and Development, Seattle Children’s Research Institute, Seattle, WA, USA
| | - Megan L. Fitzgerald
- Department of Medicine, Grossman School of Medicine, New York University, New York, NY, USA
| | - Kathryn Hirabayashi
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Ravi Jhaveri
- Division of Pediatric Infectious Diseases, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Alka Khaitan
- Department of Pediatrics, Ryan White Center for Pediatric Infectious Diseases and Global Health, Indiana University School of Medicine, IN, USA
| | - Tianchen Lyu
- Department of Health Outcomes Biomedical Informatics, University of Florida, Gainesville, FL, USA
| | - Suchitra Rao
- Department of Pediatrics, University of Colorado School of Medicine and Children’s Hospital Colorado, Aurora, CO, USA
| | - Hanieh Razzaghi
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Hayden T. Schwenk
- Department of Pediatrics, Stanford School of Medicine, Stanford, CA, USA
| | - Fei Wang
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Margot I. Witvliet
- Department of Sociology, Social Work and Criminal Justice, Lamar University, Beaumont, TX, USA
| | - Eric J. Tchetgen Tchetgen
- Department of Statistics and Data Science, The Wharton School, The University of Pennsylvania, PA, USA
| | - Jeffrey S. Morris
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Christopher B. Forrest
- Applied Clinical Research Center, The Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Yong Chen
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
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Pierre V, Draica F, Di Fusco M, Yang J, Nunez-Gonzalez S, Kamar J, Lopez S, Moran MM, Nguyen J, Alvarez P, Cha-Silva A, Gavaghan M, Yehoshua A, Stapleton N, Burnett H. The impact of vaccination and outpatient treatment on the economic burden of Covid-19 in the United States omicron era: a systematic literature review. J Med Econ 2023; 26:1519-1531. [PMID: 37964554 DOI: 10.1080/13696998.2023.2281882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 11/07/2023] [Indexed: 11/16/2023]
Abstract
AIMS To identify and synthesize evidence regarding how coronavirus disease 2019 (COVID-19) interventions, including vaccines and outpatient treatments, have impacted healthcare resource use (HCRU) and costs in the United States (US) during the Omicron era. MATERIALS AND METHODS A systematic literature review (SLR) was performed to identify articles published between 1 January 2021 and 10 March 2023 that assessed the impact of vaccination and outpatient treatment on costs and HCRU outcomes associated with COVID-19. Screening was performed by two independent researchers using predefined inclusion/exclusion criteria. RESULTS Fifty-eight unique studies were included in the SLR, of which all reported HCRU outcomes, and one reported costs. Overall, there was a significant reduction in the risk of COVID-19-related hospitalization for patients who received an original monovalent primary series vaccine plus booster dose vs. no vaccination. Moreover, receipt of a booster vaccine was associated with a lower risk of hospitalization vs. primary series vaccination. Evidence also indicated a significantly reduced risk of hospitalizations among recipients of nirmatrelvir/ritonavir (NMV/r), remdesivir, sotrovimab, and molnupiravir compared to non-recipients. Treated and/or vaccinated patients also experienced reductions in intensive care unit (ICU) admissions, length of stay, and emergency department (ED)/urgent care clinic encounters. LIMITATIONS The identified studies may not represent unique patient populations as many utilized the same regional/national data sources. Synthesis of the evidence was also limited by differences in populations, outcome definitions, and varying duration of follow-up across studies. Additionally, significant gaps, including HCRU associated with long COVID and various high-risk populations and cost data, were observed. CONCLUSIONS Despite evidence gaps, findings from the SLR highlight the significant positive impact that vaccination and outpatient treatment have had on HCRU in the US, including periods of Omicron predominance. Continued research is needed to inform clinical and policy decision-making in the US as COVID-19 continues to evolve as an endemic disease.
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Affiliation(s)
- Vicki Pierre
- Evidence Synthesis, Modeling & Communication, Evidera Inc., Bethesda, MD, USA
| | - Florin Draica
- Vaccine Clinical Research, Pfizer Inc., New York, NY, USA
| | | | - Jingyan Yang
- Vaccine Clinical Research, Pfizer Inc., New York, NY, USA
| | | | - Joanna Kamar
- Evidence Synthesis, Modeling & Communication, Evidera Inc., Bethesda, MD, USA
| | - Santiago Lopez
- Vaccine Clinical Research, Pfizer Inc., New York, NY, USA
| | - Mary M Moran
- Vaccine Clinical Research, Pfizer Inc., New York, NY, USA
| | | | - Piedad Alvarez
- Evidence Synthesis, Modeling & Communication, Evidera Inc., Bethesda, MD, USA
| | | | | | - Alon Yehoshua
- Vaccine Clinical Research, Pfizer Inc., New York, NY, USA
| | - Naomi Stapleton
- Evidence Synthesis, Modeling & Communication, Evidera Inc., Bethesda, MD, USA
| | - Heather Burnett
- Evidence Synthesis, Modeling & Communication, Evidera Inc., Bethesda, MD, USA
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